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Background: Social relationships impact health and may affect proximal determinants such as obesity. Our review examined empirical evidence of the impact of changes in social relationships on risk of obesity in aging adults, with attention to gender., Methods: We systematically searched Medline, EMBASE, Scopus, CINAHL, and ProQuest Dissertations and reference lists of relevant reviews and papers published up to November 2022. Longitudinal studies examining changes in marital status, living arrangement, social participation, and social networks and anthropometric changes or incident obesity were deemed eligible. Relevant data were extracted and synthesized narratively., Results: We identified 41,910 eligible titles, resulting in 252 full texts and 7 included studies. All studies were conducted in the United States and assessed marital transitions only; 3 studies included both women and men. Overall, compared with people who remain non-married, entering marriage leads to a significant increase in body mass index (BMI) for both genders. Conversely, transitioning out of marriage through widowhood or divorce leads to a decrease in weight (kg/lbs), waist circumference, and BMI for both genders. All seven studies were deemed to be of medium quality., Conclusions: Our review revealed a paucity of prospective evidence on social connections as determinants of obesity among aging adults. There is limited evidence that marital transitions are associated with changes in anthropometric measurements in aging individuals, but no evidence on the effects of changes in living arrangements, social participation, and social networks on anthropometric measurements. More research attention to the social determinants of obesity is warranted., (© 2024 The Author(s). Obesity Reviews published by John Wiley & Sons Ltd on behalf of World Obesity Federation.)

Context: Social ties are associated with the mortality and morbidity of aging populations; however, the role of social ties in healthy eating practices or gender differences in this link is less understood., Objective: The objective of this study was to examine the longitudinal evidence for the impact of changes in social ties on fruit and vegetable (FV) intakes among aging adults, with attention to gender differences., Data Sources: Medline, Embase, Scopus, CINAHL, and ProQuest databases were searched until December 2022., Data Extraction: Longitudinal studies evaluating changes in living arrangement, marital status, social network, or social participation and changes in FV intake among middle- and older-age adults were included. Data from the included studies were extracted using a standardized template and analyzed using a narrative approach., Data Analysis: A total of 4956 titles were eligible after deduplication, and 75 full texts were screened. Seven studies met the inclusion criteria, and all examined marital transitions only. Five marital transitions were assessed: staying married, becoming widowed, becoming divorced, remaining unmarried, and becoming married. Both the quantity and variety of fruit and/or vegetables eaten were studied. Three of the included studies had only male or only female populations. The studies found that marital dissolution (divorce or widowhood), and remaining unmarried, were associated with reduced FV intakes in older women or men, compared with staying married. The associations were stronger in men than in women. Two studies showed that becoming married was associated with increased vegetable intakes, but 3 reported null results. The included studies were of medium quality., Conclusions: There is a paucity of longitudinal research on whether changes in social ties are associated with changes in FV intakes among aging adults. This review showed that specific marital transitions may influence healthy eating habits, especially in older men. No evidence exists on whether changes in other social ties might alter healthy eating., Systematic Review Registration: PROSPERO registration No. CRD42022365795., (© The Author(s) 2024. Published by Oxford University Press on behalf of the International Life Sciences Institute.)

Objectives: We aimed to validate dietary assessment methods against the gold standard, doubly labeled water (DLW), for estimating total energy intake (TEI)., Methods: PubMed, Scopus, Web of Science, and Google Scholar databases were searched until May 2023. Inclusion criteria encompassed studies involving participants aged 1-18 years, employing dietary assessment methods like food records, dietary histories, food frequency questionnaire (FFQ), or 24-h recalls estimating TEI alongside DLW to measure total energy expenditure (TEE). Data were pooled using random-effects meta-analysis models., Results: Thirty-three studies were identified, with sample sizes ranging from 9 to 118 participants. Meta-analysis of 22 studies identified underestimation of TEI (mean difference [MD] = -262.9 kcal/day [95% CI: -380.0, -145.8]; I 2  = 93.55%) for food records compared with TEE estimated by DLW. Other dietary assessment methods, including food recalls (n = 9) (MD = 54.2 kcal/day [95% CI: -19.8, 128.1]; I 2  = 49.62%), FFQ (n = 7) (MD = 44.5 kcal/day [95% CI: -317.8, 406.8]; I 2  = 94.94%), and diet history (n = 3) (MD = -130.8 kcal/day [95% CI: -455.8, 194.1]; I 2  = 77.48%), showed no significant differences in TEI compared with DLW-estimated TEE. All studies were of high quality., Conclusion: Food records may underestimate TEI, yet additional research is needed to identify the most accurate methods for assessing children's dietary intake., (© 2024 World Obesity Federation.)

Social isolation matters for health and longevity, but little research examines transitions into or out of social isolation or whether transitions are gendered or socially patterned. We described gender-specific trends in breadth and lack of social participation over 6 years overall and by age, country of origin, geographic location, education, wealth, and household income. We used three waves of CLSA data to evaluate changes in social isolation (0-1 activities) and broad social participation (5+ activities) in adults aged 45-75 (n = 24,788), by gender and socio-demographics, in linear and multinomial logistic regressions with post-estimated predicted probabilities. The number of social activities decreased over time, with greater declines for women. About half the sample (more men than women) stayed not highly socially active (<5 activities) and almost 1 in 5 became not highly socially active. Most adults (77 %) remained not socially isolated and 14 % became or remained socially isolated. Women were more likely than men to remain not highly socially active and less likely to have multiple social isolation transitions. Broad social participation changed over time for several subgroups of women and men, with gender differences notable for income levels. Social disparities in social isolation transitions differed by gender only for education. Older age and socioeconomically disadvantaged adults had higher probabilities of becoming socially isolated or becoming less socially active. Findings indicated the diversity of social activities declined as Canadians age into later life and transitions in both social isolation and social participation differed between genders, especially for specific vulnerable subpopulations., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Author(s). Published by Elsevier B.V. All rights reserved.)

Background: Predictive equations have been considered as a practical approach for estimating resting energy expenditure (REE) across multiple populations, but their accuracy for each community remains to be determined. Thus, the purposes of this study were to determine the validity of REE predictive equations and to develop a new REE predictive equation in adults living in Tehran., Methods: The study included 284 subjects (158 females) aged 18-60 years old from two cross-sectional studies conducted in Tehrani populations. Anthropometric measurements were assessed using standard protocols. REE was measured using indirect calorimetry (IC) and was estimated using preexisting equations. A new equation was also developed based on the REE from IC and variables such as age, sex, height, and weight. Measured REE was compared to new equation and preexisting predictive equations via correlation, linear regression, and Bland-Altman tests., Results: The new equation and the equations by Mifflin-St. Jeor, Livingston, Frankenfield, Nichols, Müller, and Ganpule demonstrated the best predictive value at a group level (mean percentage error=-2.2 to 2.4 %). At an individual level, the new equation and the equations by Mara, Frankenfield, Roza, Nikooyeh, and Harris & Benedict showed the greatest accuracies compared to measured REE (accuracy prediction=50-53%)., Conclusion: This study highlights the importance of considering race when predicting REE. It also demonstrates that the newly developed equation is more appropriate in a clinical setting at group but not individual level. Thus, further research is needed to examine the new equation in an independent sample., Competing Interests: The authors declare no competing interests., (©2024 The Author(s).)

DNA methylation is an important molecular modification that plays a key role in the expression of cancer genes. Evaluation of epigenetic changes, hypomethylation and hypermethylation, in specific genes are applied for cancer diagnosis. Numerous studies have concentrated on describing DNA methylation patterns as biomarkers for cancer diagnosis monitoring and predicting response to cancer therapy. Various techniques for detecting DNA methylation status in cancers are based on sodium bisulfite treatment. According to the application of these methods in research and clinical studies, they have a number of advantages and disadvantages. The current review highlights sodium bisulfite treatment-based techniques, as well as, the advantages, drawbacks, and applications of these methods in the evaluation of human cancers., (© 2024. The Author(s).)

Purpose: When examining the underlying processes of obesity, evaluation of gut flora and energy homeostasis can be crucial since disruption of the normal gut microbiota community and energy imbalances are significant factors in the development of obesity. Therefore, this study aimed to compare the relative abundance of important obesity modulator gut microbiota (including Firmicutes, Bacteroidetes, Bifidobactrium spp. , Lactobacillus spp. , Bacteroides fragilis , Faecalibacterium prausnitzii , Akkermansia muciniphila , and Escherichia coli ) in fecal samples of normometabilic and hypometabolic overweight/obese individuals., Methods: This matched case-control study conducted on 36 healthy women aged 18-50 years old. An indirect calorimeter and impedance body analyzer were used to assess resting metabolic rate (RMR) and body composition, respectively. Dietary intake and physical activity were assessed using questionnaires. To determine the abundance of the abovementioned gut microbiota, quantitative polymerase chain reaction (qPCR) method was performed. Moreover, ELISA kits were used to assess leptin, ghrelin, and insulin hormones., Results: The results highlighted higher load of Firmicutes ( p  = 0.02), F. prausnitzii ( p  < 0.001), and B. fragilis ( p  = 0.02) in the normometabolic individuals compared to the hypometabolic ones. Besides, the positive correlation between the abundance of Firmicutes (β = 7.76 × 10 -1 , p  = 0.01), F. prausnitzii (β = 1.29 × 10 -5 , p  = 0.01), and B. fragilis (β = 4.13 × 10 -6 , p  = 0.04) with the RMR have been shown. Whereas the abundance of Bacteroidetes, A. muciniphila , Lactobacillus spp. , Bifidobactrium spp. , and E. coli showed no significant difference ( p  > 0.05) and no significant correlation with the RMR except Lactobacillus spp. (β = 1.73 × 10 -4 , p  = 0.01)., Conclusion: It seems that gut microbiota can be a potential target for refining host energy homeostasis and treating obesity and its consequences., Competing Interests: Competing interestsThe authors declare that they have no competing interests., (© The Author(s), under exclusive licence to Tehran University of Medical Sciences 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.)

Objective(s): Cardio-metabolic risk factors are becoming a global health concern. To address this problem, one of the proposed ways is to focus on phytochemical-rich foods consumption. Therefore, we aimed to summarize the results of observational studies (cohorts, case-control, and cross-sectional) that investigated the association between dietary phytochemical index (PI) as a new index for evaluating phytochemical-rich food intake and various risk factors of cardio-metabolic disorders. Methods: We conducted a comprehensive systematic review through PubMed, Scopus, and Web of Science databases. The literature search was performed up to August 2021 with no publication year restriction on observational studies investigating the association between PI and cardiometabolic risk factors on adults and children. A random-effect meta-analysis was used. Results: Overall, 16 articles (cross-sectional, case-control, cohort) were eligible for this systematic review and 8 studies with 99771 participants were included in the meta-analysis. Random effect meta-analysis showed that adherence to higher dietary PI decrease the odds of abdominal obesity (OR: 0.73, 95% CI: 0.58, 0.88, I 2 : 84.90), generalized obesity (OR: 0.84, 95% CI: 0.69, 0.98, I 2 : 68.10), hypertriglyceridemia (OR: 0.81, 95% CI: 0.73, 0.89, I 2 : 0.00), hypertension (OR: 0.86, 95% CI: 0.73, 0.99, I 2 : 7.02), and MetS (OR: 0.79, 95% CI: 0.69, 0.88, I 2 : 84.90). However, results considering the associations between dietary PI with glycemic indices, and low high-density lipoprotein cholesterol (HDL-C) were not significant (p<0.05). Conclusion: Evidence showed adverse associations between dietary PI and some cardio-metabolic risk factors such as obesity, hypertriglyceridemia, hypertension and metabolic syndrome.

Background: The purpose of this study is to investigate the use of radiomics and deep features obtained from multiparametric magnetic resonance imaging (mpMRI) for grading prostate cancer. We propose a novel approach called multi-flavored feature extraction or tensor, which combines four mpMRI images using eight different fusion techniques to create 52 images or datasets for each patient. We evaluate the effectiveness of this approach in grading prostate cancer and compare it to traditional methods., Methods: We used the PROSTATEx-2 dataset consisting of 111 patients' images from T2W-transverse, T2W-sagittal, DWI, and ADC images. We used eight fusion techniques to merge T2W, DWI, and ADC images, namely Laplacian Pyramid, Ratio of the low-pass pyramid, Discrete Wavelet Transform, Dual-Tree Complex Wavelet Transform, Curvelet Transform, Wavelet Fusion, Weighted Fusion, and Principal Component Analysis. Prostate cancer images were manually segmented, and radiomics features were extracted using the Pyradiomics library in Python. We also used an Autoencoder for deep feature extraction. We used five different feature sets to train the classifiers: all radiomics features, all deep features, radiomics features linked with PCA, deep features linked with PCA, and a combination of radiomics and deep features. We processed the data, including balancing, standardization, PCA, correlation, and Least Absolute Shrinkage and Selection Operator (LASSO) regression. Finally, we used nine classifiers to classify different Gleason grades., Results: Our results show that the SVM classifier with deep features linked with PCA achieved the most promising results, with an AUC of 0.94 and a balanced accuracy of 0.79. Logistic regression performed best when using only the deep features, with an AUC of 0.93 and balanced accuracy of 0.76. Gaussian Naive Bayes had lower performance compared to other classifiers, while KNN achieved high performance using deep features linked with PCA. Random Forest performed well with the combination of deep features and radiomics features, achieving an AUC of 0.94 and balanced accuracy of 0.76. The Voting classifiers showed higher performance when using only the deep features, with Voting 2 achieving the highest performance, with an AUC of 0.95 and balanced accuracy of 0.78., Conclusion: Our study concludes that the proposed multi-flavored feature extraction or tensor approach using radiomics and deep features can be an effective method for grading prostate cancer. Our findings suggest that deep features may be more effective than radiomics features alone in accurately classifying prostate cancer., (© 2023. The Author(s).)

The results of previous studies have indicated the effects of temperature changes on health status. The present study was conducted to investigate the effects of diurnal temperature range (DTR) and hospital admission on cardiovascular and respiratory diseases in Dezful, in Iran. In this ecological time-series study, data related to hospital admissions based on ICD-10, meteorological, and climatological data were gathered over a period of six years from 2014 to 2019. A distributed lag nonlinear model combined with a quasi-Poisson regression was then used to assess the impact of DTR on cardiovascular and respiratory hospital admissions. Potential confounders, including wind speed, air pollution, seasonality, time trend, weekends and holidays, days of week, and humidity were controlled. In extreme low DTRs, the cumulative effects of cardiovascular admissions significantly increased in total, and in warm and cold seasons (Lag 0-21 , P ≤ 0.05). In addition, in extreme high DTRs, the cumulative effects of cardiovascular significantly decreased in total (Lag 0-13 and Lag 0-21 , P ≤ 0.05), and in warm (Lag 0-21 , P ≤ 0.05) and cold seasons (Lag 0-21 , P ≤ 0.05). Moreover, respiratory admissions significantly decreased in total (Lag 0-21 , P ≤ 0.05) and in warm season (Lag 0-21 , P ≤ 0.05).Our result indicates that extreme low DTRs could increase the risk of daily cardiovascular admissions, and extreme high DTRs may cause a protective effect on daily respiratory and cardiovascular admissions in some regions with high fluctuations in DTR., (© 2023. The Author(s), under exclusive licence to Springer Nature B.V.)

Background and aims : Substantial evidence have linked low grade inflammation with the pathophysiology of chronic diseases and psychological impairment. An integral component underlying the link is pro-inflammatory diet. While sleeping is another significant contributor, few studies have addressed the relationship between the sleep quality and inflammatory cascade with the dietary quality as a moderator. The current study assesses the relation between inflammatory potential of the diet and sleep quality in Iranian obese and overweight women. Method : A total of 219 obese and overweight adult women were enrolled in this cross-sectional study. A standard 147-item food-frequency-questionnaire was used to record the dietary intakes; then, the dietary inflammatosry index (DII) was derived from the result-consolidated questionnaires. Pittsburgh Sleep Quality Index (PSQI) was utilized to withdraw the sleep quality and quantity. Results : The mean (±standard deviation) age, body mass index, and PSQI of individuals were 36.49 (8.38) years, 31.04 (4.31) kg/m 2 , and 5.78(3.55), respectively. Patients in the highest DII quartile were the ones with the higher consumption of pro-inflammatory food, and, ~58% of participants who were in the higher quartile had a sleep disturbance status. Results revealed an inverse relationship between sleep quality and DII in the crude model (β=-0.17, p=0.01) as well as full-adjusted model (β=0.24, p<0.001), such that women with higher DII had the poorest sleep quality. Conclusion : Based on the present observational study, obese and overweight females with higher adherence of the anti-inflammatory diet may have better sleeping status.

A systematic review and meta-analysis were conducted to find out if there was association between Plasminogen Activator Inhibitor-1 (PAI-1) gene polymorphisms (- 844 G > A and - 675 4G > 5G) and susceptibility to coronary artery disease (CAD). Search of electronic databases was performed and the pooled odds ratio (OR) and 95% confidence interval (CI) were exerted to evaluate the pooled association between the single-nucleotide polymorphisms (SNPs) and risk of CAD. For - 675 4G > 5G SNP, dominant (OR = 0.90), recessive (OR = 0.90), allelic (OR = 0.91), homozygous (OR = 0.84), and heterozygous (OR = 0.96) models were significantly associated with decreased risk of CAD. Moreover, all five genetic models were associated significantly with decreased CAD risk in the Causation and Arab populations. The results in Asians were marginally significant in recessive, allelic, and homozygote models. The male gender was found to be a risk factor in individuals with PAI-1 4G > 5G SNP in the dominant model (OR = 0.89), recessive model (OR = 0.91), allelic model (OR = 0.92), homozygous model (OR = 0.86), and heterozygous model (OR = 0.91). The results of pooled ORs for overall populations and subgroup analysis by ethnicity reject any association between PAI-1 gene - 844 G > A polymorphism and CAD risk under all genetic comparisons. The results of this meta-analysis indicated that PAI-1 4G > 5G SNP was associated with decreased risk of CAD in the overall population as well as in the Asians, Caucasians, and Arab populations. However, the PAI-1 gene - 844 G > A polymorphism had no significant association with susceptibility to CAD., (© 2021. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

Background: Unhealthy dietary patterns are the most important modifiable risk factors for obesity and overweight. This study aimed to examine the relationship between Dietary Phytochemical Index (DPI) and resting metabolic rate (RMR), mediated by inflammatory factors, in overweight and obese women., Methods: A total of 404 women, aged 18-48 years, were included in the cross-sectional study. DPI was calculated using the 147-item food frequency questionnaire (FFQ). Anthropometric measurements, RMR, and blood biomarkers were assessed using standard protocols., Results: There was marginally significant association between adherence to DPI and RMR status in the crude model (OR = 1.41, 95% CI 0.94-2.11, P = 0.09). After adjusting for potential confounders, a significant association was seen between the DPI and increase RMR.per.kg (OR = 2.77, 95% CI 0.98-7.82, P = 0.05). Our results indicated that plasminogen activator inhibitor-1 (PAI-1), transforming growth factor (TGF-β), and monocyte chemoattractant protein-1 (MCP-1) had a mediatory effect on the association between RMR and DPI (P > 0.05). Indeed, it was shown that, PAI-1, TGF-β, and MCP-1 destroyed the significance of this association and could be considered as mediating markers. However, no mediating effect was observed for high-sensitivity C reactive protein (hs-CRP)., Conclusions: Adherence to DPI can improve the RMR by reducing levels of inflammatory markers, and may be considered as a treatment for obesity. However, more long-term studies are recommended., (© 2022. The Author(s).)

Purpose: Nutrient patterns have been associated with an increased risk for chronic disease. Evidence to confirm a direct relationship between nutrient patterns and obesity and metabolic syndrome (MetS) throughout population-based differences including cultural contexts add complexity is not well established yet. The aim of this study is to investigate the association between nutrient patterns and MetS among overweight and obese Iranian women., Methods: Three hundred and sixty obese and overweight women (25 < BMI < 40) were included in this cross-sectional analysis. Dietary intake of 19 nutrients was evaluated by a semi-quantitative standard food frequency questionnaire (FFQ). MetS was determined by abdominal obesity > 88 (cm) in females, Triglycerides ≥ 150 (mg/dL), dyslipidemia (HDL < 50 mg/dL), systolic blood pressure > 130/85 (millimeters), and glucose > 100 (mg/dL). Body composition was assessed by a multi-frequency bioelectrical impedance analyzer, InBody 770 scanner. Principle components analysis was applied and four nutrient patterns were identified as following: Pattern 1 (thiamin, iron, carbohydrate, zinc, niacin, protein, magnesium, phosphorus, riboflavin), represented the carbo-vitamin group. Lipid group was showed in pattern 2 (PUFAs, MUFA, vitamin E, trans fatty acids, and Pattern 3 (beta-carotene, vitamin K, vitamin A, vitamin C) represented the anti-oxidant group, finally Pattern 4 was the indicator of the milk group (vitamin D, calcium)., Results: A significant positive association was observed between the anti-oxidant group and obesity (OR 1.40; 95% CI 1.09-1.8; P = 0.01). No relationship between other nutrient pattern and MetS was observed., Conclusions: The nutrient patterns that are highly loading of beta-carotene, vitamin K, vitamin A, and vitamin C in nutrient patterns may be associated to higher risk of obesity in overweight and obese Iranian women., Level of Evidence: Level V, cross-sectional descriptive study., (© 2021. The Author(s), under exclusive licence to Springer Nature Switzerland AG.)

Objective: Low resting metabolic rate (RMR), as a risk factor for weight gain and obesity, can be influenced by many factors. Empirical research has confirmed the role of appetite and related hormones in obesity and energy intake. This study aimed to investigate the relationship between appetite and related hormones in overweight or obese Iranian women with normal and hypo RMR., Methods: This case-control study was conducted on 42 Iranian adult women (21 cases, and 21 controls), aged 18-48 years. An impedance body analyzer was used to obtain the body composition and an indirect calorimeter was used to assess the RMR. The Flint questionnaire was used to assess appetite, dietary intake, and physical activity were assessed by FFQ and IPAQ questionnaires respectively, and ELISA kits were used to assess leptin, ghrelin, and insulin hormones., Results: The results of the study demonstrated a negative association between ghrelin hormone level (β = -0.34, 95%CI = -61.70,-3.86, P-value = 0.027) and RMR, and a positive association between insulin hormone level (β = 0.48, 95%CI = 9.38-34.35, P-value = 0.001) and RMR. Also, results of the appetite questionnaire showed that, in general, both appetite (β = 0.32, 95%CI = -0.10-2.99 P-value = 0.044) and hunger variable (β = 0.30, 95%CI = 0.04-5.87, P-value = 0.047) have a positive association with RMR. There was no significant association between leptin levels and RMR., Conclusion: It is evident that appetite and related hormones have a potential role in promoting a normal RMR., (© 2022. The Author(s).)

Objective: Mood disorders such as anxiety, depression, stresses, and low sleep quality are common among overweight/obese women. The relation of vitamin D and its blood carrier, vitamin D binding protein (VDBP), to mental health is still unknown. This study aimed to examine the relation of serum 25(OH)D and VDBP to mental health measures including depression, anxiety, stress and sleep quality of overweight/obese women., Methods: This cross-sectional study included a total of 265 overweight/obese women in Tehran, Iran, from 2016 to 2017. The 21-question version of the Depression Anxiety Stress Scales (DASS-21) and the Pittsburgh Sleep Quality Index (PSQI) were used to evaluate mental health and sleep quality of participants, respectively. Serum 25(OH)D was assessed using the radioimmunoassay method and VDBP was evaluated with the use of ELISA. Associations were tested by logistic regression analysis., Results: In the crud analysis, higher serum 25(OH)D was marginally related to decreased odds of stress, but, women with higher VDBP levels had a marginal increased risk for depression. After adjustment for age, educational level, physical activity, body mass index and dietary energy intake, higher serum 25(OH)D was significantly related to a 42% decreased odds of stress (OR = 0.58, 95%CI: 0.28-0.99, p = 0.04), while, women with higher VDBP levels had an increased risk for depression (OR = 1.74, 95%CI: 1.002-3.42, p = 0.04). Serum vitamin D and VDBP were not significantly related to other indices of mental health., Conclusion: Higher serum vitamin D was related to decreased odds of stress but higher VDBP was related to increased odds of depression., Competing Interests: Declaration of competing interest The authors declare that there is no conflict of interest., (Copyright © 2021 European Society for Clinical Nutrition and Metabolism. Published by Elsevier Ltd. All rights reserved.)

Although epidemiological studies have discerned the association between polycyclic aromatic hydrocarbons (PAHs) exposure and hypertension and/or cardiovascular disease in the general population, the possible mechanisms for this association are not well understood. We sought to examine the association between urinary metabolites of PAHs and cardiovascular diseases (CVDs) and blood pressure in adults, by conducting a meta-analysis of observational studies. We searched PubMed, Scopus, Embase, and Web of science, up to July 2021, for observational studies that investigated the association between urinary metabolites of PAHs and CVDs and blood pressure in adults. Nine prospective studies, including 27,280 participants, were included. Based on overall pooled results, there was a significant positive association between all types of urinary metabolites of PAH and blood pressure (OR: 1.32; 95%, CI: 1.19 to 1.48, p < 0.0001) (I 2  = 62.4%, p < 0.0001). There was no significant association between any urinary metabolite of PAH and CHD (OR: 0.93; 95%, CI: 0.83 to 1.03, p = 0.174) (I 2  = 0%, p = 0.653). Overall, there was a significant positive association between all urinary metabolites of PAH and CVD (OR: 1.23; 95%, CI: 1.16 to 1.30, p < 0.0001) (I 2  = 59.7%, p < 0.0001). The results of the present meta-analysis suggest that different metabolites PAHs are associated with an increased risk of CVD and HTN. Further studies, including randomized clinical trials, are needed to confirm the veracity of our findings., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Objective: Recent studies have shown that increased dietary inflammatory index (DII) score or consumption of pro-inflammatory foods can lead to increased waist circumference (WC) as well as triglyceride (TG) concentrations in obese people. The purpose of this study is to examine the association between DII and hypertriglyceridemic waist circumference phenotype (HTGWCP) in women with overweight and obesity., Results: There was a positive significant correlation between DII and HTGWCPs. In other words, with an increase in DII score or higher consumption of pro-inflammatory foods, the odds of having abnormal phenotypes including; enlarged waist normal TG (EWNT) (OR = 2.85, 95% CI 1.02 to 7.98, P for trend = 0.04), normal waist enlarged TG (NWET) (OR = 5.85, 95% CI 1.1 to 31.11, P for trend = 0.03) and enlarged waist enlarged TG (EWET) (OR = 3.13, 95% CI 0.95 to 10.27, P for trend = 0.05) increase compared to normal waist normal TG (NWNT) phenotype. In conclusion; increasing DII scores can increase abnormal phenotypes and therefore may increase WC and TG levels in overweight and obese women., (© 2021. The Author(s).)

Objective: Some observational studies investigated the association between dietary energy density (DED) and risk of cancers with inconstant results. In addition, there is no study on such association among patients with prostate cancer (PC). The present study was performed to evaluate the association between dietary energy density (DED) and PC risk., Methods: In this case-control study, one hundred and twenty-five participants were enrolled (62 cases and 63 controls). Dietary intakes were assessed using 160-item semi-quantitative food frequency questionnaire. In addition, demographic characteristics were collected using a general questionnaire and anthropometric indices were measured based on the available guidelines. The association between DED and PC risk was evaluated using multivariable logistic regression., Results: The results showed that higher DED score was associated with increased risk of PC (OR = 2.59; 95% CI= (1.24-5.40)). Interestingly, after adjusting for potential confounders ((smoking, physical activity, energy intake, education, ethnicity, job, anti-hyperlipidemic drugs, antihypertensive drugs, and aspirin) the results remained significant (OR = 2.87; 95% CI= (1.17-7.05))., Conclusion: Our findings suggest that DED may increase the risk of PC. However, more prospective studies are warranted to confirm these results., Competing Interests: Declaration of competing interest None., (Copyright © 2021 European Society for Clinical Nutrition and Metabolism. Published by Elsevier Ltd. All rights reserved.)

Objective: Equivocal association the contribution of 25-hydroxyvitamin D (25(OH)D) and the well-accepted role of vitamin D-binding protein (VDBP) on bioavailability of 25(OH)D or its independent roles, has led to possible association of the VDBP in glucose metabolism. This study was conducted to evaluate the relationships among 25(OH)D, VDBP, glucose/insulin metabolism and homeostatic model assessment (HOMA-IR). Blood samples were collected from 236 obese and overweight women. VDBP and 25(OH)D levels, and biochemical parameters were measured using an enzyme-linked immunosorbent assay (ELISA). An impedance fat analyzer was utilized to acquire the body composition., Results: Using the multivariate linear regression, a reverse relationship was observed between VDBP and (HOMA-IR), such that women with higher VDBP displayed lower insulin resistance. The relationship was independent of age, body mass index, standardized energy intake and physical activity (p = 0.00). No significant relationship between 25(OH)D levels, FBS, body composition or insulin resistance were observed (p > 0.2). Current study observed that higher level of VDBP may be associated with lower levels of insulin and HOMA-IR, thus the evaluation of VDBP in diverse population groups seems to have significant clinical value in evaluating the prevalence of DM or early stage of glucose intolerance.

Background: Nowadays, use of continuous metabolic syndrome (cMetS) score has been suggested to improve recognition of metabolic syndrome (MetS). The aim of this study was to evaluate the validity of cMetS scores for predicting MetS., Methods: We searched the electronic databases included MEDLINE/PubMed, Embase, ISI Web of Science, and Scopus from 1 January 1980 to 30 September 2020. Observational studies on participants with different cMetS scores were included in this meta-analysis. The sensitivity, specificity, positive likelihood ratio (LR+), negative likelihood ratio (LR) and diagnostic odds ratio (DOR) with 95% CI were calculated., Results: Ten studies involving a total of 25,073 participants were included. All studies had cross-sectional design. The pooled sensitivity and specificity of cMetS scores for predicting MetS were 0.90 (95% CI: 0.83 to 0.95) and 0.86 (95% CI: 0.83 to 0.89), respectively. Moreover, cMetS scores had the pooled LR+ of 6.5 (95% CI: 5.0 to 8.6), and a pooled (LR-) of 0.11 (95% CI: 0.063 to 0.21). The pooled DOR of cMetS scores to predict MetS were 57 (95% CI: 26 to 127)., Conclusions: The high sensitivity and specificity of cMetS scores indicates that it has a high accuracy to predict the risk of MetS. Furthermore, the cMetS scores has a good ability to rule out healthy people., Study Registration: This study was registered as PROSPERO CRD42020157273., Competing Interests: Competing interestsThe authors declare that they have no competing interests., (© Springer Nature Switzerland AG 2021.)

Background: In this systematic review and meta-analysis, we aimed to find a consistent conclusion for the association between the interleukin 7 receptor alpha (IL7RA) gene rs6897932 single nucleotide polymorphism (SNP) and multiple sclerosis (MS) risk., Methods: Here, we performed a comprehensive systematic search in PubMed, Scopus, and Web of Science to find relevant studies published before November 2020 investigating the association between rs6897932 SNP and MS risk. In the pooled analysis, we determined the odds ratio (OR) and the corresponding 95% confidence interval (CI) for the association level between rs6897932 SNP and the risk of MS., Results: In the current meta-analysis 33 case-control studies (30 articles) containing 19351 patients and 21005 healthy controls certify the inclusion criteria. According to the pooled analysis, a statistically significant association of IL7RA gene rs6897932 SNP with MS risk was found across recessive model (OR= 0.84, 95% CI= 0.77-0.92, P< 0.001, FEM), allelic model (OR= 0.91, 95% CI= 0.85-0.99, P= 0. 02, REM), TT vs. CC model (OR= 0.79, 95% CI= 0.67-0.93, P= 0.005, REM). Moreover, the subgroup analysis based on the ethnicity indicated a negative significant association in Europeans; dominant model (OR= 0.88, 95% CI= 0.78-1.01, P= 0.06, REM), recessive model (OR= 0.79, 95% CI= 0.71-0.88, P< 0.001, REM), allelic model (OR= 0.88, 95% CI= 0.81-0.96, P= 0.003, REM), TT vs. CC model (OR= 0.74, 95% CI= 0.61-0.88, P<0.001, REM) models. Nonetheless, no significant association was detected in Asians and Americans., Conclusions: IL7RA gene rs6897932 SNP decreases MS susceptibility in overall population and Europeans., (Copyright © 2020 Elsevier B.V. All rights reserved.)

Several studies have evaluated the association between killer-cell immunoglobulin-like receptors (KIR) genes and susceptibility risk to tuberculosis (TB) infection. Nonetheless, their outcomes have not been conclusive and consistent. Here we implemented a systematic review and meta-analysis of KIR genes association to susceptibility risk of pulmonary TB (PTB) infection to attain a clear understanding of the involvement of these genes in susceptibility to PTB infection. A systematic search was conducted in the MEDLINE/PubMed and Scopus databases to find case-control studies published before November 2020. Pooled odds ratio (OR) and 95% confidence interval (95% CI) were calculated to determine the association between KIR genes and risk of PTB infection. After comprehensive searching and implementing the inclusion and exclusion criteria, 10 case-control studies were included in the meta-analysis. Four KIR genes were found to have significant positive association with PTB susceptibility risk of infection, including 2DL3 (OR = 1.454, 95% CI = 1.157-1.827; P = 0.001), 2DS1 (OR = 1.481, 95% CI = 1.334-1.837; P < 0.001), 2DS4 (OR = 1.782, 95% CI = 1.273-2.495; P = 0.001) and 3DL1 (OR = 1.726, 95% CI = 1.277-2.333; P < 0.001). However, the results showed that the remaining KIR genes ( 2DS2-4, 2DL1, 2, 4, 3DL1-2 ) and two pseudogenes ( 2DP1 and 3DP1 ) did not have significant associations with risk of PTB infection. This meta-analysis provides reliable evidence that the KIR genes 2DL3, 2DS1, 2DS4 , and 3DL1 may be associated with an increased risk of PTB infection.

Objective: It was shown by genomic profiling that despite no detectable chromosomal abnormalities a proportion of children with pre-B acute lymphoblastic leukemia harbors copy number alterations (CNA) of genes playing role in B-cell development and function. The aim of the study was to determine the frequency of CNA in pediatric acute lymphoblastic leukemia and correlate these findings with clinical outcome., Methods: DNA extracted from peripheral blood or bone marrow at diagnosis/relapse of fifty newly diagnosed children with precursor B-cell acute lymphoblastic leukemia was analyzed for CNA with multiplex ligation-dependent probe amplification., Results: The analysis revealed 76 CNA in 24 patients most frequently found in PAR1 (17%), CDKN2A/B (15.7%) and PAX5 (14.4%) genes. There were significant CNA co-occurrences between PAX5, CDKN2A/B, BTG1, ETV6, PAR1 or XP22 genes, (p <0.020) and the high-risk group. There was a significant correlation between EBF1, RB1, and IKZF1 alterations and bone marrow relapse. Patients with CNA in screened genes are more likely to succumb to their disease except for those with PAR1 or XP22 genes (p <0.050)., Conclusion: The multiplex ligation-dependent probe amplification could be considered as an independent diagnostic tool allowing prompt identification of patients at high risk of treatment failure and, subsequently, a more adequate treatment approach.

Aim: The associations between types of dietary protein intake and child anthropometric measurements have not been fully studied. Therefore, we examined dietary protein pattern in relation to anthropometric indicators among 6-year-old children., Methods: We carried out a cross-sectional study of 788 randomly selected children from health centres in Tehran, Iran. Dietary intake was assessed using a food frequency questionnaire completed by the mothers. Anthropometric measurements were based on standard protocols. Principle component analysis was performed to identify different dietary protein patterns. We used multivariate logistic regression to evaluate how these patterns were associated with child anthropometry., Results: Three dietary protein patterns were identified: pattern 1 (rich in red and processed meats, dairy products and eggs), pattern 2 (rich in fish and poultry) and pattern 3 (rich in soy and legumes). After adjusting for potential confounders (energy intake, socioeconomic status and physical activity), being in the third compared to the first tertiles of pattern 2 was associated with increased (OR = 1.57; 95% CI: 1.09-2.27; P = .01) and decreased (OR = 0.54; 95% CI: 0.32-0.92; P = .02) risk of overweight/obesity and underweight/wasting, respectively. There was no association between other dietary patterns and risk of overweight/obesity or underweight/wasting., Conclusions: The present study showed inverse association between the fish/white meat pattern and underweight/wasting and also a positive association between higher fish/white meat protein intake and higher risk of overweight/obesity. Further studies are needed to confirm these results., (© 2020 Dietitians Association of Australia.)

Mouse model of multiple sclerosis (MS) is used for the inflammatory demyelinating disease. Rapamycin (RAPA) may contribute to the reduction of inflammatory responses to experimental autoimmune encephalomyelitis (EAE). Due to its adverse side effects, identifying new therapeutic agents is important. We investigated the transcriptional effects of evening primrose/hemp seed oil (EP/HS oil) compared to RAPA on the expression of immunological factors genes in spleen cells of EAE mouse models. We firstly induced EAE mice by injection of myelin oligodendrocyte glycoprotein (MOG). Then, the EAE mice treated and untreated with EP/HS oil were evaluated and compared with naïve mice. The spinal cords were examined histologically. The immunological factors including genes expression of the regulatory-associated protein of mammalian target of rapamycin (RAPTOR), regulatory-associated companion of mammalian target of rapamycin (RICTOR), interferon (IFN)-γ, interleukin (IL)-10, signal transducer and activator of transcription factors (STAT3), forkhead box P3 (FOXP3), and IL-17 of splenocytes were evaluated by real time-polymerase chain reaction (RT-PCR). The data showed that EP/HS oil was able to reduce the severity of EAE and inhibited the development of the disease. EP/HS oil treatment significantly inhibited the expression of RAPTOR, IFN-γ, IL-17, and STAT3 genes and promoted the expression of RICTOR, IL-10, and FOXP3 genes. In conclusion, the EP/HS oil is likely to be involved in transcription of factors in favor of EAE improvement as well as participating in remyelination in the EAE spinal cord and that it suggests to be effective in therapeutic approaches for MS.

Osteoarthritis (OA) is a major cause of disability across the world, which its prevalence is relatively high in elder population. Current accepted therapies such as exercise, anti-inflammatory drugs and intra-articular inoculation of corticosteroids are aimed at controlling symptoms in the affected patients. Surgical options including arthroplasty, osteotomy and joint replacement are other choices of treatment, which are invasive and can be applied in case of failure of conventional therapies. In the last few decades, efforts to treat musculoskeletal diseases are being increasingly focused on regenerative cellular therapies. Stromal vascular fraction (SVF), which obtained from adipose tissue, contains a variety of cells include mesenchymal stem cells (MSCs) and has shown to be effective in cartilage repair. Autologous blood products such as platelet-rich plasma (PRP) act as an adjuvant of surgical treatment and its intra-articular delivery has shown beneficial effects for OA treatment. Given the efficacy of such treatment approaches in OA, this paper discusses both preclinical and clinical evidence with major focus on clinical trials.

The immunosuppressive features of tumor lesions participate not only as one of the major players inducing cancer progression but also a big challenge for effective immunotherapy. It has been found that immunosuppression associated with chronic inflammatory factors, such as growth factors, cytokines, and chemokines is generated by stroma and tumor cells. Chronic and exhaustive secretion of these mediators triggers the generation of myeloid-derived suppressor cells (MDSCs) demonstrating one of the key players engaged in tumor immunosuppression. In point of fact, direct cell-to-cell contact is a prerequisite for immunosuppressive functions of MDSCs. From the clinical perspective, the frequency of peripheral blood MDSCs is correlated with clinical stage and therapeutic response in various cancers. Furthermore, MDSCs are involved in chemoresistant settings. Altogether, it is a rational therapeutic approach to block the fierce cycle in which MDSCs are developed and infiltrated to favor cancer progression. In this review, we will summarize recent findings of MDSCs in tumor progression and discuss potential therapeutic strategies that could be evaluated in future clinical trials., (© 2018 Wiley Periodicals, Inc.)

In both men and women around the world, lung cancer accounts as the principal cause of cancer-related death after breast cancer. Therefore, early detection of the disease is a cardinal step in improving prognosis and survival of patients. Today, the newly-defined microRNAs regulate about 30 to 60 percent of the gene expression. Changes in microRNA Profiles are linked to numerous health conditions, making them sophisticated biomarkers for timely, if not early, detection of cancer. Though evaluation of microRNAs in real samples has proved to be rather challenging, which is largely attributable to the unique characteristics of these molecules. Short length, sequence similarity, and low concentration stand among the factors that define microRNAs. Recently, diagnostic technologies with a focus on wide-scale point of care have recently garnered attention as great candidates for early diagnosis of cancer. Electrochemical nano-biosensors have recently garnered much attention as a molecular method, showing great potential in terms of sensitivity, specificity and reproducibility, and last but not least, adaptability to point-of-care testing. Application of nanoscale materials in electrochemical devices as promising as it is, brings multiplexing potential for conducting simultaneous evaluations on multiple cancer biomarkers. Thanks to their enthralling properties, these materials can be used to improve the efficiency of cancer diagnostics, offer more accurate predictions of prognosis, and monitor response to therapy in a more efficacious way. This article presents a concise overview of recent advances in the expeditiously evolving area of electrochemical biosensors for microRNA detection in lung cancer., (Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.)